Sang-Hyeun Park - researchr alias

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Viewing Publication 1 - 15 from 15

2019

Insourcing the Passenger Demand Forecasting System for Revenue Management at DB Fernverkehr: Lessons Learned from the First YearValentin Wagner, Stephan Dlugosz, Sang-Hyeun Park, Philipp Bartke. or 2020: 625-631 [doi]

2014

Efficient implementation of class-based decomposition schemes for Naïve BayesSang-Hyeun Park, Johannes Fürnkranz. ml, 96(3):295-309, 2014. [doi]

2012

Error-Correcting Output Codes as a Transformation from Multi-Class to Multi-Label PredictionJohannes Fürnkranz, Sang-Hyeun Park. dis 2012: 254-267 [doi]

Preference-based reinforcement learning: a formal framework and a policy iteration algorithmJohannes Fürnkranz, Eyke Hüllermeier, Weiwei Cheng, Sang-Hyeun Park. ml, 89(1-2):123-156, 2012. [doi]

Efficient decomposition-based multiclass and multilabel classificationSang-Hyeun Park. PhD thesis, Darmstadt University of Technology, 2012. [doi]

Efficient prediction algorithms for binary decomposition techniquesSang-Hyeun Park, Johannes Fürnkranz. datamine, 24(1):40-77, 2012. [doi]

2011

Preference-Based Policy Iteration: Leveraging Preference Learning for Reinforcement LearningWeiwei Cheng, Johannes Fürnkranz, Eyke Hüllermeier, Sang-Hyeun Park. pkdd 2011: 312-327 [doi]

2010

Efficient voting prediction for pairwise multilabel classificationEneldo Loza Mencía, Sang-Hyeun Park, Johannes Fürnkranz. ijon, 73(7-9):1164-1176, 2010. [doi]

Exploiting Code Redundancies in ECOCSang-Hyeun Park, Lorenz Weizsäcker, Johannes Fürnkranz. dis 2010: 266-280 [doi]

2009

2007

Efficient Pairwise ClassificationSang-Hyeun Park, Johannes Fürnkranz. ecml 2007: 658-665 [doi]

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